waerden.test | R Documentation |
A nonparametric test for several independent samples.
waerden.test(y, trt, alpha=0.05, group=TRUE, main=NULL,console=FALSE)
y |
Variable response |
trt |
Treatments |
alpha |
Significant level |
group |
TRUE or FALSE |
main |
Title |
console |
logical, print output |
The data consist of k samples of possibly unequal sample size.
The post hoc test is using the criterium Fisher's least
significant difference (LSD).
statistics |
Statistics of the model |
parameters |
Design parameters |
means |
Statistical summary of the study variable |
comparison |
Comparison between treatments |
groups |
Formation of treatment groups |
Felipe de Mendiburu
Practical Nonparametrics Statistics. W.J. Conover, 1999
BIB.test
, DAU.test
, duncan.test
,
durbin.test
, friedman
, HSD.test
,
kruskal
, LSD.test
, Median.test
,
PBIB.test
, REGW.test
, scheffe.test
,
SNK.test
, waller.test
, plot.group
library(agricolae)
# example 1
data(corn)
out1<-with(corn,waerden.test(observation,method,group=TRUE))
print(out1$groups)
plot(out1)
out2<-with(corn,waerden.test(observation,method,group=FALSE))
print(out2$comparison)
# example 2
data(sweetpotato)
out<-with(sweetpotato,waerden.test(yield,virus,alpha=0.01,group=TRUE))
print(out)
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